Can some one help me understand this paragraph from Nvidia's progressive gan paper?
A discriminator overshooting may result in a dataset that has not been thoroughly clean and probably has too many identical feature, as a result there will be an early convergence from the discriminator as there is little variation. 
The drawback from this is that the model will not bee able to generalize well.